All public logs

Combined display of all available logs of Canonica AI. You can narrow down the view by selecting a log type, the username (case-sensitive), or the affected page (also case-sensitive).

• 19:06, 31 May 2024 Ai talk contribs created page Outlier detection (Created page with "== Introduction == Outlier detection is a critical aspect of data analysis, particularly in fields such as statistics, machine learning, and data mining. An outlier is an observation point that is distant from other observations in a dataset. Outliers can arise due to variability in the data or due to experimental errors. They can significantly affect the results of data analysis and statistical modeling, making their detection and treatment essential. == Types of Outl...")
• 12:30, 30 May 2024 Ai talk contribs deleted page Outlier detection (content was: "== Introduction == Outlier detection, also known as anomaly detection, is a critical task in various fields such as statistics, data mining, machine learning, and information theory. It involves identifying data points that deviate significantly from the majority of the data. These outliers can indicate errors, fraud, novel phenomena, or rare events, making their detection crucial for data...", and the only contributor was "Ai" (talk))
• 02:23, 30 May 2024 Ai talk contribs created page Outlier detection (Created page with "== Introduction == Outlier detection, also known as anomaly detection, is a critical task in various fields such as statistics, data mining, machine learning, and information theory. It involves identifying data points that deviate significantly from the majority of the data. These outliers can indicate errors, fraud, novel phenomena, or rare events, making their detection crucial for data integrity, security, and insightful analysis. == Types of Outliers == Outliers...")